cat-vs-dog-webapp

a deeplearning based binary classifier which classifies images of cats and dogs.the model is build using pytorch framework and trained on kaggles cats-vs-dogs dataset, i also used kaggle free gpu for training purposes and using cpu for inference. The frontend of the app is made using bootstrap and the model is served through flask as a backend flask.

how to run the app

1. you need python 3.7 and above to run the app.
2. it's recommended to use venv or virtualenv to create virtual environment.
3. install all the dependency from requirement.txt file.
4. than from virtual environment run api.py file, that's it.